Cargando…
Epidemiological Comparison of Four COVID-19 Waves in the Democratic Republic of the Congo, March 2020–January 2022
PURPOSE: Nationwide analyses are required to optimise and tailor activities to control future COVID-19 waves of resurgence continent-wide. We compared epidemiological and clinical outcomes of the four COVID-19 waves in the Democratic Republic of Congo (DRC). METHODS: This retrospective descriptive e...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346056/ https://www.ncbi.nlm.nih.gov/pubmed/35921045 http://dx.doi.org/10.1007/s44197-022-00052-6 |
_version_ | 1784761561889374208 |
---|---|
author | Otshudiema, John Otokoye Folefack, Gervais Léon T. Nsio, Justus M. Mbala-Kingebeni, Placide Kakema, Cathy H. Kosianza, Joel B. Mfumu, Antoine K. Saidi, Guy N. Kabongo, Patrice M. Okum, Raphael Tshimbombu, Tshibambe N. Ahuka-Mundeke, Steve Karamagi, Humphrey Cyprian Muyembe, Jean-Jacques T. Djiguimde, Amédée Prosper |
author_facet | Otshudiema, John Otokoye Folefack, Gervais Léon T. Nsio, Justus M. Mbala-Kingebeni, Placide Kakema, Cathy H. Kosianza, Joel B. Mfumu, Antoine K. Saidi, Guy N. Kabongo, Patrice M. Okum, Raphael Tshimbombu, Tshibambe N. Ahuka-Mundeke, Steve Karamagi, Humphrey Cyprian Muyembe, Jean-Jacques T. Djiguimde, Amédée Prosper |
author_sort | Otshudiema, John Otokoye |
collection | PubMed |
description | PURPOSE: Nationwide analyses are required to optimise and tailor activities to control future COVID-19 waves of resurgence continent-wide. We compared epidemiological and clinical outcomes of the four COVID-19 waves in the Democratic Republic of Congo (DRC). METHODS: This retrospective descriptive epidemiological analysis included data from the national line list of confirmed COVID-19 cases in all provinces for all waves between 9 March 2020 and 2 January 2022. Descriptive statistical measures (frequencies, percentages, case fatality rates [CFR], test positivity rates [TPR], and characteristics) were compared using chi-squared or the Fisher–Irwin test. RESULTS: During the study period, 72,108/445,084 (16.2%) tests were positive, with 9,641/56,637 (17.0%), 16,643/66,560 (25.0%), 24,172/157,945 (15.3%), and 21,652/163,942 (13.2%) cases during the first, second, third, and fourth waves, respectively. TPR significantly decreased from 17.0% in the first wave to 13.2% in the fourth wave as did infection of frontline health workers (5.2% vs. 0.9%). CFR decreased from 5.1 to 0.9% from the first to fourth wave. No sex- or age-related differences in distributions across different waves were observed. The majority of cases were asymptomatic in the first (73.1%) and second (86.6%) waves, in contrast to that in the third (11.1%) and fourth (31.3%) waves. CONCLUSION: Despite fewer reported cases, the primary waves (first and second) of the COVID-19 pandemic in the DRC were more severe than the third and fourth waves, with each wave being associated with a new SARS-CoV-2 variant. Tailored public health and social measures, and resurgence monitoring are needed to control future waves of COVID-19. |
format | Online Article Text |
id | pubmed-9346056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-93460562022-08-03 Epidemiological Comparison of Four COVID-19 Waves in the Democratic Republic of the Congo, March 2020–January 2022 Otshudiema, John Otokoye Folefack, Gervais Léon T. Nsio, Justus M. Mbala-Kingebeni, Placide Kakema, Cathy H. Kosianza, Joel B. Mfumu, Antoine K. Saidi, Guy N. Kabongo, Patrice M. Okum, Raphael Tshimbombu, Tshibambe N. Ahuka-Mundeke, Steve Karamagi, Humphrey Cyprian Muyembe, Jean-Jacques T. Djiguimde, Amédée Prosper J Epidemiol Glob Health Research Article PURPOSE: Nationwide analyses are required to optimise and tailor activities to control future COVID-19 waves of resurgence continent-wide. We compared epidemiological and clinical outcomes of the four COVID-19 waves in the Democratic Republic of Congo (DRC). METHODS: This retrospective descriptive epidemiological analysis included data from the national line list of confirmed COVID-19 cases in all provinces for all waves between 9 March 2020 and 2 January 2022. Descriptive statistical measures (frequencies, percentages, case fatality rates [CFR], test positivity rates [TPR], and characteristics) were compared using chi-squared or the Fisher–Irwin test. RESULTS: During the study period, 72,108/445,084 (16.2%) tests were positive, with 9,641/56,637 (17.0%), 16,643/66,560 (25.0%), 24,172/157,945 (15.3%), and 21,652/163,942 (13.2%) cases during the first, second, third, and fourth waves, respectively. TPR significantly decreased from 17.0% in the first wave to 13.2% in the fourth wave as did infection of frontline health workers (5.2% vs. 0.9%). CFR decreased from 5.1 to 0.9% from the first to fourth wave. No sex- or age-related differences in distributions across different waves were observed. The majority of cases were asymptomatic in the first (73.1%) and second (86.6%) waves, in contrast to that in the third (11.1%) and fourth (31.3%) waves. CONCLUSION: Despite fewer reported cases, the primary waves (first and second) of the COVID-19 pandemic in the DRC were more severe than the third and fourth waves, with each wave being associated with a new SARS-CoV-2 variant. Tailored public health and social measures, and resurgence monitoring are needed to control future waves of COVID-19. Springer Netherlands 2022-08-03 /pmc/articles/PMC9346056/ /pubmed/35921045 http://dx.doi.org/10.1007/s44197-022-00052-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Otshudiema, John Otokoye Folefack, Gervais Léon T. Nsio, Justus M. Mbala-Kingebeni, Placide Kakema, Cathy H. Kosianza, Joel B. Mfumu, Antoine K. Saidi, Guy N. Kabongo, Patrice M. Okum, Raphael Tshimbombu, Tshibambe N. Ahuka-Mundeke, Steve Karamagi, Humphrey Cyprian Muyembe, Jean-Jacques T. Djiguimde, Amédée Prosper Epidemiological Comparison of Four COVID-19 Waves in the Democratic Republic of the Congo, March 2020–January 2022 |
title | Epidemiological Comparison of Four COVID-19 Waves in the Democratic Republic of the Congo, March 2020–January 2022 |
title_full | Epidemiological Comparison of Four COVID-19 Waves in the Democratic Republic of the Congo, March 2020–January 2022 |
title_fullStr | Epidemiological Comparison of Four COVID-19 Waves in the Democratic Republic of the Congo, March 2020–January 2022 |
title_full_unstemmed | Epidemiological Comparison of Four COVID-19 Waves in the Democratic Republic of the Congo, March 2020–January 2022 |
title_short | Epidemiological Comparison of Four COVID-19 Waves in the Democratic Republic of the Congo, March 2020–January 2022 |
title_sort | epidemiological comparison of four covid-19 waves in the democratic republic of the congo, march 2020–january 2022 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346056/ https://www.ncbi.nlm.nih.gov/pubmed/35921045 http://dx.doi.org/10.1007/s44197-022-00052-6 |
work_keys_str_mv | AT otshudiemajohnotokoye epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT folefackgervaisleont epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT nsiojustusm epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT mbalakingebeniplacide epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT kakemacathyh epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT kosianzajoelb epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT mfumuantoinek epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT saidiguyn epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT kabongopatricem epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT okumraphael epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT tshimbombutshibamben epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT ahukamundekesteve epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT karamagihumphreycyprian epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT muyembejeanjacquest epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 AT djiguimdeamedeeprosper epidemiologicalcomparisonoffourcovid19wavesinthedemocraticrepublicofthecongomarch2020january2022 |